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LDepth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Popularity
Repository stars34,144Highest8,248
7-day net stars——
Fork3,010Highest621
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-02-252024-07-17
Maintenance notesUnknownNot verified
Repository created2023-02-012024-01-22
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeImage generationImage generation
TypeModels & adaptersModels & adapters
SubcategoryLoRA & adaptersLanguage models
PlatformNot verifiedNot verified
Cost detailsCheck hosted-service, model and infrastructure costs for the option you choose.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-022026-11-03
MetricRepository Stars, not unique usersRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectProvide models and code for adding structural conditioning to diffusion models.[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Measured at2026-11-02 18:45 UTC2026-11-03 08:29 UTC
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